Package: getspanel 0.2.0

getspanel: General-to-Specific Modelling of Panel Data

Uses several types of indicator saturation and automated General-to-Specific (GETS) modelling from the 'gets' package and applies it to panel data. This allows the detection of structural breaks in panel data, operationalising a reverse causal approach of causal inference, see Pretis and Schwarz (2022) <doi:10.2139/ssrn.4022745>.

Authors:Felix Pretis [aut], Moritz Schwarz [aut, cre]

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getspanel.pdf |getspanel.html✨
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NEWS

# Install 'getspanel' in R:
install.packages('getspanel', repos = c('https://moritzpschwarz.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/moritzpschwarz/getspanel/issues

Datasets:

On CRAN:

econometricsgets

5.34 score 11 stars 20 scripts 272 downloads 9 exports 35 dependencies

Last updated 8 months agofrom:5fd1ea6325. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 14 2024
R-4.5-winOKNov 14 2024
R-4.5-linuxOKNov 14 2024
R-4.4-winOKNov 14 2024
R-4.4-macOKNov 14 2024
R-4.3-winOKNov 14 2024
R-4.3-macOKNov 14 2024

Exports:break_uncertaintyfelmFunget_indicatorsisatpanelplot_counterfactualplot_gridplot_residualsrobust_isatpanelWithin_plm

Dependencies:clicolorspacedata.tablefansifarverfastDummiesgetsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellmvtnormnlmepillarpkgconfigR6RColorBrewerrlangscalesstringistringrtibbleutf8vctrsviridisLitewithrzoo

getspanel: Getting Started

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Nov 14 2024.

Last update: 2023-10-17
Started: 2020-12-07